Can RTX 3070 8GB run Inkling?

NVIDIA · 8 GB GDDR6 · 448 GB/s bandwidth · Thinking Machines · 975.0B (active 41.0B) · MoE · model ctx up to 1024K

No — Inkling at Q4 needs ≈ 541.35 GB even at 4K context, beyond the RTX 3070 8GB's 8 GB GDDR6. It would only run with heavy CPU/disk offload. FP16 needs ≈ 1959.2 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.

Fit & speed by quant and context

Quant	Context	VRAM needed	Fits?	tok/s (decode)
Q4	4K	541.35 GB	No	—
Q4	8K default	545.45 GB	No	—
Q4	32K	570.05 GB	No	—
FP16	4K	1955.1 GB	No	—
FP16	8K default	1959.2 GB	No	—
FP16	32K	1983.8 GB	No	—

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

Quant	Weights	KV cache	Overhead	Total needed	RTX 3070 8GB VRAM
Q4	536.25 GB	8.2 GB	1 GB	545.45 GB	8 GB
FP16	1950.0 GB	8.2 GB	1 GB	1959.2 GB	8 GB

Other GPUs that run Inkling

No catalog GPU fully fits Inkling at Q4/8K — see the model page for offload estimates.

All GPUs for Inkling →

Other models for the RTX 3070 8GB

• MiniCPM5-1B — ≈264.0 tok/s Q4 est.
• Qwen3.5-2B — ≈142.5 tok/s Q4 est.
• Llama-3.2-3B-Instruct — ≈89.1 tok/s Q4 est.
• Qwen3-4B-Instruct-2507 — ≈71.3 tok/s Q4 est.
• Qwen3-4B-Thinking-2507 — ≈71.3 tok/s Q4 est.
• NVIDIA-Nemotron-3-Nano-4B-BF16 — ≈71.3 tok/s Q4 est.
• gemma-4-E2B-it — ≈55.9 tok/s Q4 est.
• Mistral-7B-Instruct-v0.3 — ≈39.6 tok/s Q4 est.

All models on the RTX 3070 8GB →